DataSklr
Topics in Data Science
Who We Are
DataSklr is a platform that explores topics in data science and predictive analytics. While the individual web-pages do offer mathematical explanations and theory, the emphasis is on application. Sections include regression and classification models as well as several unsupervised learning methods for individuals working in quantitative fields.
Topics
Book
The book is a showcase of logistic regression theory and application of statistical machine learning with Python. Topics include logit, probit, and complimentary log-log models with a binary target as well as multinomial regression.